Sushma Verma

855 total citations
35 papers, 569 citations indexed

About

Sushma Verma is a scholar working on Molecular Biology, Pharmaceutical Science and Infectious Diseases. According to data from OpenAlex, Sushma Verma has authored 35 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Pharmaceutical Science and 7 papers in Infectious Diseases. Recurrent topics in Sushma Verma's work include Advanced Drug Delivery Systems (5 papers), Advancements in Transdermal Drug Delivery (5 papers) and COVID-19 Clinical Research Studies (4 papers). Sushma Verma is often cited by papers focused on Advanced Drug Delivery Systems (5 papers), Advancements in Transdermal Drug Delivery (5 papers) and COVID-19 Clinical Research Studies (4 papers). Sushma Verma collaborates with scholars based in India, Nepal and Ireland. Sushma Verma's co-authors include Daya D. Verma, Gabriele Blume, Alfred Fahr, Mohammad Abbas, Farzana Mahdi, Syed Tasleem Raza, Faizan Haider Khan, Zeba Siddiqi, Monisha Banerjee and Puja Saha and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Hypertension.

In The Last Decade

Sushma Verma

31 papers receiving 541 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sushma Verma India 12 235 183 104 100 54 35 569
Hao Ran China 11 122 0.5× 104 0.6× 57 0.5× 32 0.3× 34 0.6× 45 494
Yousef N. Alhashem Saudi Arabia 13 70 0.3× 216 1.2× 21 0.2× 33 0.3× 65 1.2× 28 479
Kerryn A Greive Australia 12 66 0.3× 63 0.3× 170 1.6× 39 0.4× 28 0.5× 21 421
Diletta Scaccabarozzi Italy 12 21 0.1× 160 0.9× 71 0.7× 71 0.7× 47 0.9× 19 614
Stefan Proniuk United States 13 85 0.4× 101 0.6× 19 0.2× 43 0.4× 19 0.4× 23 392
Diane Berson United States 20 109 0.5× 80 0.4× 1.3k 12.1× 104 1.0× 51 0.9× 37 1.4k
Lalana Kongkaneramit Thailand 9 94 0.4× 197 1.1× 32 0.3× 15 0.1× 38 0.7× 10 397
Sureewan Duangjit Thailand 13 513 2.2× 212 1.2× 141 1.4× 7 0.1× 106 2.0× 45 747
Hoda A. Salem Egypt 9 122 0.5× 63 0.3× 36 0.3× 18 0.2× 61 1.1× 22 329
A. Gupta Australia 7 120 0.5× 96 0.5× 28 0.3× 33 0.3× 25 0.5× 16 350

Countries citing papers authored by Sushma Verma

Since Specialization
Citations

This map shows the geographic impact of Sushma Verma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sushma Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushma Verma more than expected).

Fields of papers citing papers by Sushma Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sushma Verma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sushma Verma. The network helps show where Sushma Verma may publish in the future.

Co-authorship network of co-authors of Sushma Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Sushma Verma. A scholar is included among the top collaborators of Sushma Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sushma Verma. Sushma Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Verma, Sushma, et al.. (2024). Targeting the microbiome to improve human health with the approach of personalized medicine: Latest aspects and current updates. Clinical Nutrition ESPEN. 63. 813–820. 37 indexed citations
2.
3.
Verma, Sushma, et al.. (2024). Studies on Association of Seed Borne Mycoflora in Different Varieties of Black Gram [Vigna mungo (L.) Hepper] by Incubation Methods. Journal of Experimental Agriculture International. 46(4). 117–131.
4.
Siddiqi, Zeba, et al.. (2023). Interactions between diabetic and hypertensive drugs: a pharmacogenetics approach. Molecular Genetics and Genomics. 298(4). 803–812. 1 indexed citations
5.
Kumar, Sanjay, et al.. (2023). Entropy based adaptive color image watermarking technique in $$YC_bC_r$$ color space. Multimedia Tools and Applications. 83(5). 13725–13751. 7 indexed citations
6.
Verma, Sushma, et al.. (2023). COMBATING THE ANTIMICROBIAL RESISTANCE BY PERSONALIZED MEDICINE: A MINI-REVIEW. 10(1). 88–92. 2 indexed citations
7.
Khan, Almas, et al.. (2022). Genetic Variants and Drug Efficacy in Tuberculosis: A Step toward Personalized Therapy. SHILAP Revista de lepidopterología. 9(2). 90–96. 11 indexed citations
8.
Verma, Sushma, Tushar Agarwal, & Gaurav Sharma. (2022). Nanoparticles loaded with antifungal drug for the treatment of skin infection. International Journal of Health Sciences. 7966–7978. 1 indexed citations
9.
Verma, Sushma, Faizan Haider Khan, Zeba Siddiqi, et al.. (2022). Genetic polymorphisms of IL6 gene –174G > C and –597G > A are associated with the risk of COVID‐19 severity. International Journal of Immunogenetics. 50(1). 5–11. 13 indexed citations
10.
Verma, Sushma, et al.. (2022). Determinants in Tailoring Antidiabetic Therapies: A Personalized Approach. SHILAP Revista de lepidopterología. 9(2). 63–71. 3 indexed citations
11.
Abbas, Mohammad, Sushma Verma, Sahabjada Siddiqui, et al.. (2021). Association of GSTM1 and GSTT1 gene polymorphisms with COVID‐19 susceptibility and its outcome. Journal of Medical Virology. 93(9). 5446–5451. 33 indexed citations
12.
Abbas, Mohammad, Faizan Haider Khan, Sushma Verma, et al.. (2021). Role of miRNAs in cervical cancer: A comprehensive novel approach from pathogenesis to therapy. Journal of Gynecology Obstetrics and Human Reproduction. 50(9). 102159–102159. 10 indexed citations
13.
Verma, Sushma, Mohammad Abbas, Faizan Haider Khan, et al.. (2021). Impact of I/D polymorphism of angiotensin-converting enzyme 1 (ACE1) gene on the severity of COVID-19 patients. Infection Genetics and Evolution. 91. 104801–104801. 68 indexed citations
14.
Verma, Sushma, et al.. (2021). Effectiveness of Blood Pressure and Body Temperature Screening for Severity in COVID-19 Patients. SHILAP Revista de lepidopterología. 147–151.
15.
Verma, Sushma & Abhishek Ojha. (2018). TRANSDERMAL DRUG DELIVERY SYSTEM: A REVIEW. 4(1). 1–9. 15 indexed citations
16.
Verma, Sushma, et al.. (2016). Phenetic and genetic diversity in Indian Luffa (Cucurbitaceae) inferred from morphometric, ISSR and DAMD markers. Genetic Resources and Crop Evolution. 64(5). 995–1010. 13 indexed citations
17.
Verma, Sushma, et al.. (2013). ANTIOXIDANT ENZYME LEVELS AS MARKERS FOR TYPE 2 DIABETES MELLITUS. International Journal of Bioassays. 2(4). 685–690. 12 indexed citations
18.
Verma, Daya D., Sushma Verma, Gabriele Blume, & Alfred Fahr. (2003). Liposomes increase skin penetration of entrapped and non-entrapped hydrophilic substances into human skin: a skin penetration and confocal laser scanning microscopy study. European Journal of Pharmaceutics and Biopharmaceutics. 55(3). 271–277. 218 indexed citations
19.
Agarwal, Sunita, Sushma Verma, Sudhir S. Singh, & Sushil Kumar. (2002). New long chain alcohol and ester from Papaver somniferum (Poppy) seeds. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 41(5). 1061–1063.
20.
Gulati, Baldev R., et al.. (1998). Thyroid functions, testosterone profiles and preputial microbes in cow and buffalo bulls. The Indian Journal of Animal Sciences. 68(4). 341–343. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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